## Abstract Models and estimention procedures are given for linear regression models in discrete distributions when the regression contains both fixed and random effects. The methods are developed for discrete variables with typically a small number of possible outcomes such as occurs in ordinal re
Mixed MNL models for discrete response
β Scribed by Daniel McFadden; Kenneth Train
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 255 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0883-7252
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Repeated measures data are frequently incomplete, unbalanced and correlated. There has been a great deal of recent interest in mixed effects models for analysing such data. In this paper, we develop bivariate response mixed effects models that are a generalization of linear mixed effects models for
## Abstract For plate bending analysis, both discrete and nonβdiscrete mixed methods are presented by using spline functions in the HellingerβReissner variational principle. Piecewise spline interpolation with local supports and overall spline interpolation with boundary knots are applied to each o
Dirichlet mixed models find wide application. Estimation is usually achieved through the method of moments. Here we present an iterative hybrid algorithm for obtaining the maximum likelihood estimate employing both modified Newton-Raphson and E-M methods. This successful MLE algorithm enables calcul